The Financial Times is one of the world’s leading business news organisations, recognised internationally for its authority, integrity and accuracy. The FT has a record paying readership of one million, three-quarters of which are digital subscriptions. It is part of Nikkei Inc., which provides a broad range of information, news and services for the global business community.
We have offices in more than 35 cities, including London, New York, Hong Kong, Beijing, Manila, Sofia, San Francisco and Tokyo. Join us and find an inclusive and fast-paced environment with unique opportunities to support every step of your career.
Learn more about the FT, including announcements and career opportunities, at aboutus.ft.com.Position Summary
This is an exciting opportunity for an engineer to join the FT Core group as part of the Product & Technology organisation within FT.
FT Core brings together key digital assets like:
Content and Metadata - enabling content publishing, discoverability and targeting
Membership - powering a seamless subscription/payments/access and the whole newspaper distribution customer journeys
Data Platform - enabling storing, processing and getting insights from readership data
You will have the autonomy to select the tools and technologies you need to build and operate services responsible for FT brand critical capabilities. Someone who is comfortable with the ever changing technical landscape and is keen to contribute to the company’s processes and broader know-how would thrive in this role.
Working in the Data Platform team you will be responsible for delivering innovative technical solutions as you build and operate world class platforms to grow the Financial Times strategic business models. To help you understand in more details the Financial Times’ Data Platform team’s goals and projects take a look at this article.The Tech Stack
We often use these, it's not an exhaustive list but gives you a taste of what our technology stack and tools look like:
Workflow orchestration tools like Airflow, Luigi or Oozie
AWS: ECS/EKS, Kinesis/MSK (Kafka), Redshift
Streaming technologies like Kafka, Spark or Flink
Distributed SQL Engines like Presto, Athena or Impala
Graphite, Grafana, Splunk
We understand that tech interviews are often stressful for no good reason, so we designed our interview process to be rigorous but friendly. We have tech tests requiring minimal code writing and algorithms understanding, a friendly system design exercise and a set of questions to encourage you to tell us about your strengths and what makes you happy at work.
We're committed to equality and diversity in the tech industry, so we'll be especially happy to see applications from under-represented backgrounds. We encourage this by considering flexible working hours as well as tuning the hiring process to promote diversity.This role will be right for you if you are happy to:
Work directly with product owners and more senior engineers to fully shape solutions from inception to deployment and beyond
Work within a team of engineers in an agile delivery team
Development of high quality data solutions within Financial Times’ Data Platform
Design and implement low maintenance, well monitored, secure and scalable solutions to customer problems
Design, build and operate solutions, from cradle to grave, which meet both functional and non-functional KPIs
Understand and play an active part in designing the architecture, tooling and release cycle processes used by the engineering teams across Product & Technology
Contribute to company-wide processes, frameworks and guidelines
Develop an in-depth understanding of FT’s underlying data and data flows, data structures
Develop a close relationship with our customers and provide operational support
Good command of written and spoken English
Extensive development experience in Python, including development of microservices
Extensive experience in working with Databases
Experience in containerization technologies such as Docker or K8s
Knowledge of design patterns - TDD, OOP
Experience working as part of an Agile delivery team, using methodologies like Scrum and Kanban
Willingness and curiosity to learn and use new technologies and programming languages not familiar with
Experience working with AWS Cloud services in the Big Data domain
Experience productionizing Machine learning algorithms or Data science models
Experience with streaming applications such as Kafka streams, Spark streaming
Experience with Release procedures with Jenkins, Circle CI
Experience in working with ETL frameworks (job orchestration tools) such as Airflow or Luigi
The Financial Times Ltd. committed to equality of opportunity. We are determined to create a diverse group at all levels of our Company and we welcome all members of the community we serve to apply for openings with us.